Modeling Airline Choice Behavior Based on Observed and Latent Variables Using Structural Equation Modeling and Multinomial Logit-Factor Analysis Hybrid Approach

IF 1.7 4区 工程技术 Q3 ENGINEERING, CIVIL
Narges Hashemi, Babak Mirbaha, Ali Abdi Kordani, Seyed Mohsen Hosseinian
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Abstract

In an era of intense competition and declining profits, airlines are increasingly focused on understanding and meeting customer needs to enhance service quality and attract more passengers. Previous studies have often treated airline choice as a function of observed variables alone. This research fills the gap by incorporating latent psychological factors using a hybrid modeling approach, providing a more holistic view of the decision-making process. In this study, an attempt was made to examine the personal and travel characteristics of passengers and their impact on airline choice at Mehrabad International Airport, Iran. To identify the structures of latent variables, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used, and they were then presented to a multinomial logit-factor analysis (MNL-FA) hybrid approach as observed variables for the choice model of airline and ticket price. The results of EFA indicated that the number of samples was sufficient for this analysis and FA was appropriate to identify the structure of the factor model. CFA results showed that compatible people paid more attention to airline tangibles and image in airline choice. Also, more extroverted people paid more attention to airline costs and image. Moreover, people with higher conscientiousness paid less attention to airline tangibles in airline choice and the costs associated with an airline were less influential in the choice by these people. Results also indicated that neurotic people were sensitive to airline tangibles, costs and flight planning when choosing an airline, and people who were more eager for new experiences paid more attention to tangibles, image and cost factors when choosing an airline, and were less sensitive to flight planning. MNL-FA hybrid model results showed that monthly family expenses above 250$, morning flight time, self-employment, travel with friends, number of vehicles in family ownership, housekeeper and three or more vehicles in family ownership were among the effective factors affecting the choice of the ticket price of an airline. Furthermore, the personality characteristics of compatibility and conscientiousness had positive effects on the choice of airline and ticket price, respectively.

Abstract Image

利用结构方程模型和多项式 Logit 因子分析混合方法,基于观察变量和潜在变量建立航空公司选择行为模型
在竞争激烈、利润下降的时代,航空公司越来越重视了解和满足客户需求,以提高服务质量,吸引更多乘客。以往的研究通常仅将航空公司的选择视为观察变量的函数。本研究采用混合建模方法,将潜在的心理因素纳入其中,为决策过程提供了更全面的视角,从而填补了这一空白。在本研究中,我们尝试研究伊朗梅赫拉巴德国际机场乘客的个人和旅行特征及其对航空公司选择的影响。为了确定潜在变量的结构,采用了探索性因子分析(EFA)和确证性因子分析(CFA),然后将它们作为航空公司和机票价格选择模型的观察变量,提交给多项式对数-因子分析(MNL-FA)混合方法。EFA 的结果表明,样本数量足以满足本次分析的需要,FA 适合确定因子模型的结构。CFA 结果显示,性格相容的人在选择航空公司时更关注航空公司的有形资产和形象。此外,外向型性格的人更关注航空公司的成本和形象。此外,自觉性较高的人在选择航空公司时对航空公司的有形资产关注较少,航空公司的相关成本对这些人的选择影响较小。结果还表明,神经质的人在选择航空公司时对航空公司的有形资产、成本和航班计划比较敏感,而更渴望新体验的人在选择航空公司时更关注有形资产、形象和成本因素,对航班计划的敏感度较低。MNL-FA 混合模型结果显示,家庭月支出 250 美元以上、早晨飞行时间、自主创业、与朋友一起旅行、家庭拥有车辆数量、管家和家庭拥有三辆或三辆以上车辆是影响航空公司票价选择的有效因素。此外,兼容性和自觉性人格特征分别对航空公司和机票价格的选择有积极影响。
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来源期刊
CiteScore
3.30
自引率
11.80%
发文量
203
期刊介绍: The aim of the Iranian Journal of Science and Technology is to foster the growth of scientific research among Iranian engineers and scientists and to provide a medium by means of which the fruits of these researches may be brought to the attention of the world’s civil Engineering communities. This transaction focuses on all aspects of Civil Engineering and will accept the original research contributions (previously unpublished) from all areas of established engineering disciplines. The papers may be theoretical, experimental or both. The journal publishes original papers within the broad field of civil engineering which include, but are not limited to, the following: -Structural engineering- Earthquake engineering- Concrete engineering- Construction management- Steel structures- Engineering mechanics- Water resources engineering- Hydraulic engineering- Hydraulic structures- Environmental engineering- Soil mechanics- Foundation engineering- Geotechnical engineering- Transportation engineering- Surveying and geomatics.
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